Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- IMT Atlantique
- CEA
- IMT Mines Ales
- Institut Pasteur
- ONERA
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université Gustave Eiffel
- CEA-Saclay
- CNRS - Observatoire de Paris-Meudon
- Centrale Supelec
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Centre de Mise en Forme des Matériaux (CEMEF)
- ESRF - European Synchrotron Radiation Facility
- Ecole Normale Supérieure de Lyon
- Grenoble INP - Institute of Engineering
- IMT - Institut Mines-Télécom
- IMT MINES ALES
- INRAE
- Institut des Hautes Etudes Scientifiques
- Institut des Hautes Études Scientifiques
- Mines Paris-PSL
- Observatoire de Paris
- Télécom Paris
- Université Angers
- Université Savoie Mont Blanc
- Université Toulouse Capitole
- Université côte d'azur
- Université d'Orléans
- Université de Bordeaux / University of Bordeaux
- Université de Strasbourg
- Université de Toulouse
- fluiidd
- École polytechnique
- 26 more »
- « less
-
Field
-
contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
-
to establish a new class of fundamental, operator-learning-based inverse models that bridge sensing, physics, and AI, forming the algorithmic core of next-generation industrial instrumentation. For this mission
-
, or experimental protocols that can support further research. The work may also contribute to collaborations with industrial partners, or the development of new methodologies and algorithms, enhancing both
-
using LLMs in therapeutic settings: data confidentiality, algorithmic biases, and limitations in contextual understanding. Study the acceptance of these tools by both patients and healthcare professionals
-
above Strong mathematical and algorithmic background A pro-active approach to achieving research excellence Commitment, team working and a critical mind Fluent written and verbal communication skills in
-
, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs
-
on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster
-
the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics
-
. The aim will therefore be to define an algorithm for calculating these indicators and to implement it in the GeoClimate software. To a lesser extent, the recruited researcher will participate in
-
14 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France